Yifan Li - From Deep Potential to DeePMD-kit, to DeepModeling Published 2021-12-08 Download video MP4 360p Download video MP4 720p Recommendations 1:27:06 Daniel Schwalbe Koda: Machine learning for interatomic potentials 28:46 Three ways to use slurm on a high performance computer (HPC) (CC130) 18:40 But what is a neural network? | Chapter 1, Deep learning 18:00 Googles GEMINI 1.5 Just Surprised EVERYONE! (GPT-4 Beaten Again) Finally RELEASED! 33:25 Sam Altman STUNS Everyone With GPT-5 Statement (GPT-5 Capilibites + ASI) 12:18 OpenAI Shocks the AI Video World - Sora Changes Everything 13:35 The Horizon Problem | The Universe's biggest UNSOLVED mystery 06:10 Machine Learning Potentials in AMS2020 59:46 Ivan Novikov - The MLIP package: Moment tensor potentials with active learning 1:09:17 Learning Local Equivariant Representations for Large-Scale Atomistic Dynamics | Albert Musaelian 33:08 Interatomic potentials from first principles 09:35 Deep learning project end to end | Potato Disease Classification Using CNN - 1 : Problem Statement 02:35 Machine Learning Explained in 100 Seconds 52:43 Christoph Schran - Machine learning potentials for complex aqueous systems made simple 02:36 Михаил Елизаров (СЭЭ ФВЭЛ) про украинский язык и Харьков 03:34 John Kitchin: Using Machine Learning to Improve Molecular Simulations 11:55 How the Large Hadron Collider Found the "God Particle" 19:22 🔥 СВИТАН: СЮРПРИЗ ВСУ В АВДЕЕВКЕ / Россия потеряла Черноморский флот 11:21 Where do you even start with something like this? Reddit roots of polynomial equation r/Homeworkhelp 44:44 The Race to Long Distance Entanglement – Cosmic Queries Similar videos 23:32 DeePMD-kit: A Powerful, Efficient, Free Platform for Deep Potential Model- Jinzhe Zeng | SciPy 2022 12:21 Yifan Li: Messenger 38:01 Lecture 1: Deep Potential Method for Molecular Simulation, Roberto Car 36:43 Lecture 2: Deep Potential at Scale, Linfeng Zhang 张林峰 50:19 Hands-on session 6: Concurrent learning with DP-GEN 48:59 Machine Learning Interatomic Potential Development with MAML 32:19 Lecture 6: Deep Modeling with Long-Range Electrostatic Interactions, Chunyi Zhang 张春一 22:29 Hands-on session 4: Machine learning of Wannier centers and dipoles 16:03 Molecular Dynamics with Neural Equivariant Interatomic Potentials 31:16 Lecture 7: Interatomic Potentials 4:39:50 Mathematics of neural network 02:47 ニューラルネットワークMDによるZrO2の転位シミュレーション 1:06:41 Methane Combustion Simulated with Neural Network Potential 13:23 AMS2020 new features: QM/MM, machine learning potentials, efficient G0W0 method 21:57 Machine Learning Specialization: A Comprehensive Review - Worth It or Nah? 28:52 Exploring the Matterverse with Graph Deep Learning More results